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TLDR AI news

The latest AI and developer news from TLDR AI, with short summaries.

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Self-Improving Software (5 min read)

A self-improvement platform where coding agents repeat creation, improvement, and verification has been introduced.

·2026.05.12 09:00

The Path to Truly Creative AI

It argues that AI's creativity would have to come from intrinsic desire and subjective experience.

·2026.05.12 09:00

Long-Form Video Generation

Google and NUS proposed A²RD for long-form video generation.

·2026.05.12 09:00

Agentic Test-Time Scaling GitHub Repository

AutoTTS discovers Test-Time Scaling policies through code exploration alone in an offline replay environment.

·2026.05.12 09:00

Trajectory Models for Few-Step Diffusion

NTM aims for both 4-step generation and exact likelihood by training the reverse step as a normalizing flow.

·2026.05.12 09:00

The Inference Shift

The center of gravity for AI inference is moving from GPUs to the memory hierarchy.

·2026.05.12 09:00

Google's Gemini Omni Video Model Spotted Ahead of I/O

Google's Gemini Omni video model was spotted just before I/O.

·2026.05.12 09:00

Elon Musk Reorganizes xAI into SpaceXAI Division

Elon Musk announced that xAI will be absorbed into SpaceX and reorganized into a SpaceXAI division.

·2026.05.12 09:00

Interaction Models

Thinking Machines released a research preview of Interaction Models for real-time multimodal interaction.

·2026.05.12 09:00

Sutskever Reveals His OpenAI Stake Is Worth About $7 Billion

OpenAI co-founder Ilya Sutskever revealed that his OpenAI stake is worth approximately $7 billion.

·2026.05.12 04:00

Meta-Meta Prompt Design: The Secret to Making AI Agents Work

Garry Tan turned repetitive tasks into skills to build a personal AI operating system.

·2026.05.11 09:00

Modularity revealed in Mixture-of-Experts models

Ai2 released EMO, showing that performance can be largely preserved using only a subset of a MoE's experts.

·2026.05.11 09:00

SFT, RL, and On-Policy Distillation Viewed Through the Lens of Distribution

The author compares SFT, RL, and OPD from a distributional perspective and emphasizes the importance of policy-based sampling.

·2026.05.11 09:00

SkillOS: Learning Skill Curation for Self-Evolving Agents

Google researchers proposed SkillOS, which learns skill curation through experience-based RL.

·2026.05.11 09:00

The Anti-Singularity

The author argues that instead of general intelligence, AI could head toward a trial-and-error anti-singularity.

·2026.05.11 09:00

Building Real-Time Speech Translation

OpenAI has outlined how to build real-time speech translation with **gpt-realtime-translate**.

·2026.05.11 09:00

When LLMs keep rewriting them, even useful memories break down

Repeatedly updating memory as text failed to accumulate performance and instead collapsed it.

·2026.05.11 09:00

Anthropic says internet text depicting AI as evil caused Claude's blackmail attempts

Anthropic attributed Claude's blackmail behavior to internet text that depicts AI in an evil light.

·2026.05.11 09:00

The Cost of Overfitting to a Model's Way of Working

OpenAI's pullback on fine-tuning is deepening concerns about overfitting to a model's way of working and lock-in.

·2026.05.11 01:00

Why Mistral AI Is Growing Faster Than OpenAI and Anthropic

Mistral AI is rapidly expanding into the enterprise market with a sovereign open-weight strategy.

·2026.05.10 23:00